NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dakota County, MN Series ID: MHICIUBMN27037A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1989-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:11 PM CST Notes: The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 43888 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 50824 1994-01-01 . 1995-01-01 55792 1996-01-01 . 1997-01-01 60639 1998-01-01 63854 1999-01-01 65828 2000-01-01 69401 2001-01-01 69317 2002-01-01 69180 2003-01-01 69394 2004-01-01 71183 2005-01-01 68190 2006-01-01 72390 2007-01-01 76417 2008-01-01 73709 2009-01-01 71883 2010-01-01 71726 2011-01-01 71849 2012-01-01 73619 2013-01-01 77301 2014-01-01 77948 2015-01-01 80709 2016-01-01 82014 2017-01-01 82835 2018-01-01 88879 2019-01-01 92365 2020-01-01 93514 2021-01-01 95987 2022-01-01 100861